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题名: A comparative study of two data reduction methods for steel classification based on LIBS
作者: Kong HY(孔海洋); Sun LX(孙兰香); Hu JT(胡静涛); Xin Y(辛勇); Cong ZB(丛智博)
作者部门: 信息服务与智能控制技术研究室
会议名称: International Conference on Machine Tool Technology and Mechatronics Engineering (ICMTTME 2014)
会议日期: June 22-23, 2014
会议地点: Guilin, China
会议录: Applied Mechanics and Materials
会议录出版者: Trans Tech Publications
会议录出版地: Zurich-Durnten, Switzerland
出版日期: 2014
页码: 4722-4725
收录类别: EI
ISSN号: 1660-9336
ISBN号: 978-3-03835-246-4
关键词: Artificial Neural Network (ANN) ; Classification of Steels ; Laser-Induced Breakdown Spectroscopy ; Principal Component Analysis (PCA)
摘要: Spectra of 27 steel samples were acquired by Laser-Induced Breakdown Spectroscopy (LIBS) for steel classification. Two methods were used to reduce dimensions: the first is to select characteristic lines of elements contained in the samples manually and the second is to do principal component analysis (PCA) of original spectra. Then the data after reducing dimensions was used as the input of artificial neural networks (ANN) to classify steel samples. The results show that, the better result can be achieved by selecting peak lines manually, but this solution needs much priori knowledge and wastes much time. The principal components (PCs) of original spectra were utilized as the input of artificial neural networks can also attain a good result nevertheless and this method can be developed into an automatic solution without any priori knowledge.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15415
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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Recommended Citation:
Kong HY,Sun LX,Hu JT,et al. A comparative study of two data reduction methods for steel classification based on LIBS[C]. 见:International Conference on Machine Tool Technology and Mechatronics Engineering (ICMTTME 2014). Guilin, China. June 22-23, 2014.
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